研究成果

Related Projects

Targeting at openness and advancing AutoML ecosystems, we had also released few other open-source projects.

• MindWare: an open source system that provides end-to-end ML model training and inference capabilities.

• SGL: a scalable graph learning toolkit for extremely large graph datasets.

• HyperTune: a large-scale multi-fidelity hyper-parameter tuning system.

Related Publications

OpenBox: A Python Toolkit for Generalized Black-box Optimization.

Huaijun Jiang, Yu Shen, Yang Li, Wentao Zhang, Ce Zhang, Bin Cui. https://arxiv.org/abs/2304.13339

OpenBox: A Generalized Black-box Optimization Service.

Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui; KDD 2021, CCF-A. https://arxiv.org/abs/2106.00421

MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements.

Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui; AAAI 2021, CCF-A. https://arxiv.org/abs/2012.03011

Transfer Learning based Search Space Design for Hyperparameter Tuning.

Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui; KDD 2022, CCF-A. https://arxiv.org/abs/2206.02511

TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning.

Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui; KDD 2022, CCF-A. https://arxiv.org/abs/2206.02663

PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm.

Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, and Bin Cui; WWW 2022, CCF-A, 🏆 Best Student Paper Award. https://arxiv.org/abs/2203.00638

Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale.

Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui; VLDB 2022, CCF-A. https://arxiv.org/abs/2201.06834